Google became the main starting point for our online activities. The search engine processes about 40,000 searches every second or 3.5 billion searches per day. It records what people are interested in, what they worry about or where they want to travel. In a unique manner, the search engine captures trends in interests and behavior. Hidden racisms, sexual orientation or ad returns - check out the work by Seth...

Are you looking for real world data science problems to sharpen your skills? In this post, we introduce you to four platforms hosting data science competitions. Data science competitions can be a great way for gaining practical experience with real world data, and for boosting your motivation through the competitive environment they provide. Check them out, competitions are a lot of fun!
Kaggle
Kaggle is the best known platform...

The open-source project R is among the leading tools for data science and machine learning tasks. Given its open-source framework, there are continuous contributions, and package libraries with new features pop up frequently. Currently, the CRAN package repository features 12,525 available packages. This post takes a look at the most popular and useful packages that have set the standards for solving data manipulation, visualization, and...

Currently, Python and R are the dominating data science tools and Python will probably even be taking the lead (at least based on the latest KDNuggets survey ). When did the two open source players manage to become the leading platforms for analytics, data science, and machine learning, leaving behind established players such as Matlab or SAS? Here are some insights from Google Trends.
Looking at the years 2009 - 2013 in the...